{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n",
     "is_executing": true
    }
   },
   "source": [
    "version = 1.0\n",
    "\n",
    "date : 2021-05-03\n",
    "\n",
    "author :kenny, cob sufe ."
   ],
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "leading zeros in decimal integer literals are not permitted; use an 0o prefix for octal integers (<ipython-input-170-b4951d03ed0d>, line 2)",
     "output_type": "error",
     "traceback": [
      "\u001B[1;36m  File \u001B[1;32m\"<ipython-input-170-b4951d03ed0d>\"\u001B[1;36m, line \u001B[1;32m2\u001B[0m\n\u001B[1;33m    date : 2021-05-03\u001B[0m\n\u001B[1;37m                 ^\u001B[0m\n\u001B[1;31mSyntaxError\u001B[0m\u001B[1;31m:\u001B[0m leading zeros in decimal integer literals are not permitted; use an 0o prefix for octal integers\n"
     ]
    }
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "mpl.rcParams['font.sans-serif'] = ['SimHei']\n",
    "mpl.rcParams['axes.unicode_minus'] = False"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = [1,2,3,4,5]\n",
    "y = [6,10,4,5,1]\n",
    "\n",
    "plt.bar(x,y,\n",
    "        align='center',\n",
    "        color = 'b',\n",
    "        tick_label=[ITEM for ITEM in 'ABCDE'],\n",
    "        alpha= .6,\n",
    "        edgecolor = 'k',\n",
    "        )\n",
    "plt.xlabel('测试难度')\n",
    "plt.ylabel(\"试卷分数\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAEECAYAAAA8tB+vAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAAARc0lEQVR4nO3de5RdZXnH8e8TBglmEiEngBJtIlZprYjAFJV6iXHwVhFFU1pdWusl0SrWy2rB6KIUddparfWCkogKAqsibVER8RKRikXUwWutuEQ01lClEjAJGmSSp3/snWYYJjmTcPbZh3e+n7Vm5Vz2OfvZa2X9Zs+z3/fdkZlIksoxp+0CJEm9ZbBLUmEMdkkqjMEuSYUx2CWpMAa7JBVmqO0CABYtWpRLly5tuwxJuse49tprf5GZB0333kAE+9KlSxkfH2+7DEm6x4iI9bt6z1aMJBXGYJekwhjsklQYg12SCmOwS1JhDHZJKozBLkmFMdglqTADMUFpYvMG1l+8qrX9D3c6dJaPtbZ/SeqlgQj27RMTjK1b09r+V4+uotPa3iWpt2zFSFJhDHZJKozBLkmFMdglqTAGuyQVxmCXpMIY7JJUGINdkgpjsEtSYQx2SSqMwS5JhWkk2CPijIj4XkRcWf88oon9SJLuqslFwN6SmRc0+P2SpGnYipGkwjQZ7G+Y1IrZZ+qbEbEyIsYjYnzjpq0NliFJs0uTwf6WzFxW/2yb+mZmrs3MkcwcWbhgboNlSNLsYitGkgrTr1bMyQ3uR5I0SSOjYjLzDOCMJr5bkrR7tmIkqTAGuyQVxmCXpMIY7JJUGINdkgpjsEtSYQx2SSqMwS5JhTHYJakwBrskFcZgl6TCGOySVJgmb403Y3OGhlg9uqq1/Q93Oq3tW5J6bSCCfWj+YpasWNN2GZJUBFsxklQYg12SCmOwS1JhDHZJKozBLkmFMdglqTADMdxxYvMG1l/c3jh2zV7DnQ6d5WNtlyH11EAE+/aJCcbWOY5d/bd6dBVOT1NpbMVIUmEMdkkqjMEuSYUx2CWpMAa7JBXGYJekwhjsklQYg12SCmOwS1JhDHZJKozBLkmFaSTYI+LciPhmRIxHxEub2IckaXpNLgL2SuB7wLci4iuZ+e0G9yVJqjXaisnMm4HLgMc1uR9J0k796LHfDBww9cWIWFm3asY3btrahzIkaXboR7AvBDZOfTEz12bmSGaOLFwwtw9lSNLs0GiwR8QBwFOBK5rcjyRppyYvnr4buB04NTOva3A/kqRJGgn2zHxhE98rSerOCUqSVBiDXZIKY7BLUmEMdkkqjMEuSYUx2CWpMAa7JBXGYJekwhjsklQYg12SCmOwS1JhDHZJKkyTqzvO2JyhIVaPrmq7DM1Cw51O2yVIPTcQwT40fzFLVqxpuwxJKoKtGEkqjMEuSYUx2CWpMAa7JBXGYJekwnQN9qiM7OK9B/a+JEnS3THT4Y4fj4iLgBuAr2Tm1yLiGOA9wKPvbhETmzew/mLHsc9Gw50OneVjbZchFWW3wR4RkZkZEdcDa4AlwFMj4mzgN8CKXhSxfWKCsXWOY5+NVo+uwilCUm91O2O/PCK2APcBfhs4BhgBLgV+DzgI+GmjFUqS9ki3YH8OsBR4BXAm8D/AiZm5LSKWAh+MiCdmZjZapSRpxroF+59TnanfDHwb+CfgRxFxIfAw4FRDXZIGS7dRMQvqf48D9qP6RfAt4JtUZ/LfbaowSdLe6RbsnwN+BBwFXAc8CzgSeArwVmB1o9VJkvZYt2BfTjX65T3A4cD5wPXANZl5PvCgiHCSkyQNkN322DPzryNiHtWomG319m/MzKvrTV6emdsbrlGStAe6TlDKzNuA2yLiYcC8SaFOZt7aYG2SpL0wozZKRAwB5wAPabYcSdLd1fWMPSLuBVwI/Dvwyoh4BvDf9c8lmfnjRiuUJO2R3Z6xR8STgC8BX8zMU4EAXgd8lGps+4cbr1CStEe6nbEH8PTMvKl+PpGZPwF+AlxTzz6d/oMRbwKeCPwceH5mbulBvZKkLrr12K+aFOoAh0XEGyPi9wEy88zpPhQRxwGPBf4A+CywshfFSpK66xbsKyLiaxExWj//BdVs09Mi4iP1RdXpPBn4VL3cwGeAH/SmXElSN7sN9sw8j2ohsFdFxLnA5Zl5SWY+G7gaeO8uPnoIsLH+jhsy89LelSxJ2p2uwx0zc31mPoNqjZiHTHr9XcCiiNh/mo9tAoYBIuLYiPjLqRtExMqIGI+I8Y2btu71AUiS7mzGywFk5juAU6a8dlJm/nqazf8DOL5+/HjgLttk5trMHMnMkYUL5u5ByZKk3ZlxsEfEI4A7ImJFRPxul80/AdwQEVdTXUT90N6XKEnaE91ujbcfkMBFwMeArwN/DbwgIo4GMjO/MfVz9UXTU6a+Lklq3kxutLGIal32BF4K3AjMpVqf/T1Ut8iTJA2IbqNi3gH8K7BjBcetwIOA1wIHAzc0Wp0kaY91W1LgeVRhvsN5VGH+VqqzfW+LJ0kDZpfBHhH7AA8ETgUeBbwa2Ieqhf7VzLxwd5+XJLVjlz32zNwGvDki7gccSnWbvLOolhX4MHAv4AF9qVKSNGPdRsW8Grg31Zn5z4B3AK8BTqcam35Lw/VJkvZQt1ExZ1PdEm9/qjbM9VR99tdm5qsark2StBe63fN0a91rPweYADYD3wfuW19Y/V5mfr35MiVJM9WtFfNOqiB/dmY+cdLrN1Ld4PrqiOjU90WVJA2Abq2YT2fm5RHxrIjYl+pi6dFU678cCfyJoS5Jg2WXwR4RB1ONijkVOAL4OPBT4D+B84E3Z+bP+1KlJGnGdjkOPTNvysxjMnMZ1RoxJ1INe7wA+CHe71SSBlK3VswOmZl3RMQxwNuo7oV6SEQclpl3e1mBOUNDrB5ddXe/RvdAw51O2yVIxeka7PWomP0jIoDTM/P9EfFHwHX0aL2YofmLWbJizd39GkkS3deKGaJa4fFpwAnAxog4CTiI6gbV9tglacB0W+vlb4BbM3MzsBqYB8wHtgBvB45qtjxJ0p7qNkHpDZOers1ML5hK0oDbk3uefrDJQiRJveGyu5JUGINdkgoz03HsjZrYvIH1FzuOXdLsMtzp0Fk+1vPvHYhg3z4xwdg6x7FLml1Wj66iiSl6tmIkqTAGuyQVxmCXpMIY7JJUGINdkgpjsEtSYQx2SSqMwS5JhTHYJakwBrskFcZgl6TCGOySVJhGFgGLiHOBI4FfUt0X9bmZua2JfUmS7qzJM/ZTMnMZcAvwpAb3I0mapB+tmEXAbX3YjySJZtdjf3dEDAGbgS9PfTMiVgIrARYvGm6wDEmaXZpuxRwBfBU4beqbmbk2M0cyc2ThgrkNliFJs0s/WjG3APP7sB9JEs23Yn5VP35ug/uRJE3SSLBn5gub+F5JUndOUJKkwhjsklQYg12SCmOwS1JhDHZJKozBLkmFMdglqTAGuyQVxmCXpMIY7JJUGINdkgrT5CJgMzZnaIjVo6vaLkOS+mq402nkewci2IfmL2bJijVtlyFJRbAVI0mFMdglqTAGuyQVxmCXpMIY7JJUGINdkgozEMMdJzZvYP3FjmPX7DPc6dBZPtZ2GSrMQAT79okJxtY5jl2zz+rRVTQzRUWzma0YSSqMwS5JhTHYJakwBrskFcZgl6TCGOySVBiDXZIKY7BLUmEMdkkqjMEuSYUx2CWpMAa7JBWmsWCPiIURsSUi5ja1D0nSXTV5xn48sB/wuAb3IUmaoslgfwpwVv2vJKlPmlyP/dHAY4DPT/dmRKwEVgIsXjTcYBmSNLs0csYeEQ8HFgH/AiyNiAdM3SYz12bmSGaOLFxgG16SeqWpVsyTgbHMXAa8q34uSeqDJoP9ivrxFdhnl6S+aaTHnpmjkx5/AfhCE/uRJN2VE5QkqTAGuyQVxmCXpMIY7JJUGINdkgpjsEtSYQx2SSqMwS5JhTHYJakwBrskFcZgl6TCNLke+4zNGRpi9eiqtsuQ+m6402m7BBVoIIJ9aP5ilqxY03YZklQEWzGSVBiDXZIKY7BLUmEMdkkqjMEuSYUx2CWpMAa7JBXGYJekwkRmtl0DEbEZ+H7bdbRkEfCLtotokcfv8Xv8e2dJZh403RsDMfMU+H5mjrRdRBsiYny2Hjt4/B6/x9/E8duKkaTCGOySVJhBCfa1bRfQotl87ODxe/yzWyPHPxAXTyVJvTMoZ+ySpB4x2CWpMK0He0R8ICKujog3tl1LP0XEfSLi8oj4XERcEhH3arumNkTEIRHxjbbraEtEvDciTmi7jn6LiAMj4lMRcVVEnN12Pf1S/3+/qn68b0R8ss6/F/VyP60Ge0ScBOyTmccBh0bEg9usp8+eB/xjZh4P/Ax4Ssv1tOVtwP5tF9GGiHgscN/MvLTtWlrwfOCCzHwsMD8iih/LHhEHAucB8+qXTgHG6/x7ekTM79W+2j5jXwZ8tH58BfCY9krpr8x8b2Z+rn56EHBTm/W0ISKWA7dR/WKbVSJiX+D9wI8j4sS262nBzcDhEXEA8ADgJ+2W0xfbgJOBTfXzZezMv6uBnv1yazvY5wEb6sebgENarKUVEfFo4MDMvKbtWvqpbj2dDpzWdi0teQHwX8BbgWMj4pSW6+m3LwEPBl4FXAfc0m45zcvMTZn5y0kvNZZ/bQf7Fnb+GT5M+/X0VUQsBN4N9LS/dg9xGnBWZt7adiEtOQpYm5k/Ay4AntByPf02BrwsM8+kCvY/a7meNjSWf20H6bXsbL8cCfy4vVL6qz5j/Sjw+sxc33Y9LRgFXhERVwKPiIhzWq6n364HDqsfjwCz7f/AvYEjImIf4JHAbJxQ01j+tTpBKSIWAFcBnweeCjxqyp8qxYqIl1OdtXyrful9mXlRiyW1JiKuzMxlbdfRT/WFsg9S/fm9L/CczNyw+0+VIyKOBT4ELAG+DDwrM7e0W1V/7Pj/HhFLgE8B64DjqPJvW0/20fbM0/pK8fHAF+s/SyVpVoiIQ6nO2j/Ty5Pa1oNdktRbbffYJUk9ZrBLUmEMdhVndzP4IuKw+rrOdO8dUv8bM9jHbu8+NluXiNBgMNhVlIgYBtZFxLKIuDgizo2IiyLiqHqTFwFHR8TYNOF7eUT8IfDO+rticoBHxHBEnB8Rj6KaGr6rGg4HPjnp+aDcglKzhP/hVJTM3BIRTwMOpJrC/QaqdXkWRcRnqaZub6O6efrLI+KszJyoP74lMy+LiKX1lP9DgQ/XY61vAj4O3AjcCnwhIh4GbMjMWyLiA1Tj0m+rv+s3EXEZ1cnT7cAzmz52aQeDXUWpz6YPzsxP1B2Vs4HvAHcAv9mxXWaeV8+juDIittYvHxER64B9qMYXr6darGoe8GLgVOByqgk1J1NNB99INR1+G/AK4NfAGZn5pxExSrUeyJuaPGZpKoNdpfku8OaIuK5+vo2diy7t8KCI+Hvgb4HHA9upJgl9AnhmZm6F/1+o6+3ANcDBwA+oVuF8JNXZ+V8BO5bcnQOsoBqTfHhEfAxYVP8cOWk7qXEGu4qSmZvr9c0ngKAK7B2Pd/gh8L76vRcDZwJfB34K3J9quj+ZeUdEvJ5qdvBvAQ+nmil5JXAG8OJJMwXnAmuoeu8fAMapWjk3ZObbmjlaaXpePFWJTgReTxXoC4DN7Az5yTIz1wKfplpt8TvA0VO2uQ9Vy+VFVOuZnAZ8hOrM/cqIOKjebgGwlOrmxLdTrf9yKHCMF0/Vbwa7ihIRc6iWgj0HuJDqIukDqc6y/2HK5veNiJMnPb8GeFxE7Fd/14HAWVR98mOpeu1/B/wx1S+DJ2Tm/9afnV8vvXwC1V/Cf0G1yNO/Tbo4K/WFwa7SvIRq5MtmqhbLGcBW4GVUIf87VH33ecDrqHrlRwH/THWx9EjgJRHxfOAZwNsz88bMXAH8ijufsa+LiNdExEOp19XOzNupfoF8jers/7LmD1m6M9eKUVHqsen3BjrAQzPz0vq1+1HdqWo51Tj1E4BvUK2ueFNmXl9//iSq4D4uM8enfPcocP/MPLd+HlQjaJ4M/JJqWOUBVMuvXkLVjnkCVUvm9Mz8fFPHLU1msEtTRMT8zNzcdh3S3jLYJakw9tglqTAGuyQVxmCXpMIY7JJUGINdkgrzf/0MDldBBB8vAAAAAElFTkSuQmCC\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.barh(x,y,\n",
    "        align='center',\n",
    "        color = 'b',\n",
    "        tick_label=[ITEM for ITEM in 'ABCDE'],\n",
    "        alpha= .6,\n",
    "        edgecolor = 'orange',\n",
    "        )\n",
    "plt.xlabel('测试难度')\n",
    "plt.ylabel(\"试卷分数\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 堆积柱状图。实现的一个重要条件就是传入bottom参数\n",
    "y1 = [2,6,3,8,5]\n",
    "plt.bar(x,y,\n",
    "        align='center',\n",
    "        color = 'b',\n",
    "        tick_label=[ITEM for ITEM in 'ABCDE'],\n",
    "        alpha= .6,\n",
    "        label = 'Class A',\n",
    "        edgecolor = 'k',\n",
    "        )\n",
    "plt.bar(x,y1,\n",
    "        bottom = y,\n",
    "        color = 'orange',\n",
    "        tick_label=[ITEM for ITEM in 'ABCDE'],\n",
    "        alpha= .6,\n",
    "        label = \"Class B\",\n",
    "        edgecolor = 'k',\n",
    "       )\n",
    "plt.xlabel('测试难度')\n",
    "plt.ylabel(\"试卷分数\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "data": {
      "text/plain": "[<matplotlib.collections.PolyCollection at 0x1e931a23c40>,\n <matplotlib.collections.PolyCollection at 0x1e931a23fa0>]"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.stackplot(x,y,y1)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(5)\n",
    "tick_label = [x for x in \"ABCDE\"]\n",
    "bar_width = .35\n",
    "plt.bar(x,y,bar_width,\n",
    "        align='center',\n",
    "        color = 'c',\n",
    "        tick_label=[ITEM for ITEM in 'ABCDE'],\n",
    "        alpha= .6,\n",
    "        label = 'Class A',\n",
    "        hatch=\"\\\\\\\\\\\\\\\\\",\n",
    "        edgecolor = 'k',\n",
    "        )\n",
    "# 后面的绘图会覆盖坐标轴等显示设置。\n",
    "plt.bar(x+bar_width,y1,bar_width,\n",
    "        color = 'orange',\n",
    "        tick_label=[ITEM for ITEM in 'ABCDE'],\n",
    "        alpha= .6,\n",
    "        label = \"Class B\",\n",
    "#         设置图形填充\n",
    "        hatch = '///',\n",
    "        edgecolor = 'k',\n",
    "       )\n",
    "# 设置x轴上的显示\n",
    "plt.xticks(x+bar_width/2,tick_label)\n",
    "# 为方便看出X的值。这里加一个散点图。\n",
    "plt.scatter(x,np.sqrt(np.log(y1)),c=\"b\")\n",
    "plt.xlabel('测试难度')\n",
    "plt.ylabel(\"试卷分数\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 直方图\n",
    "scoresT = np.random.standard_normal(100)*100\n",
    "bins = range(0,101,10)\n",
    "\n",
    "plt.hist(scoresT, bins = bins,\n",
    "         color = \"#377eb8\",\n",
    "         histtype='bar',\n",
    "         rwidth= 1.0,\n",
    "         hatch = \"///\",\n",
    "         edgecolor = 'k',\n",
    "         )\n",
    "plt.xlabel('学生成绩')\n",
    "plt.ylabel('学生人数')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "source": [
    "直方图和柱状图之前的区别与联系：\n",
    "一般而言，两者的展示效果是类似的。直方图描述的是连续型的数据分布，而柱状图描述的是离散型的数据分布。也可以讲，一个是定量数据的描述，另一个是定性数据的描述。\n",
    "\n",
    "另外，从图形的展现来说，hist即直方图是没有空隙的，而柱状图之间是有空隙的。"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 堆积直方图\n",
    "scores1 = np.random.randint(0,100,100)\n",
    "scores2 = np.random.randint(0,100,100)\n",
    "x = [scores1, scores2]\n",
    "\n",
    "colors = ['#8dd3c7','#bebada']\n",
    "labels = ['Class A','Class B']\n",
    "plt.hist(x,bins = bins,\n",
    "         color = colors,\n",
    "         label = labels,\n",
    "         stacked=True,\n",
    "         histtype='bar',\n",
    "         rwidth=1.0,\n",
    "         edgecolor = 'k',\n",
    "         )\n",
    "plt.title(\"不同班级测试成绩分布直方图\")\n",
    "plt.legend()\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(x,bins = bins,\n",
    "         color = colors,\n",
    "         label = labels,\n",
    "         # stacked=True,\n",
    "         histtype='bar',\n",
    "         rwidth=1.0,\n",
    "         edgecolor = 'k',\n",
    "         )\n",
    "plt.title(\"不同班级测试成绩分布直方图\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "# histtype : {'bar', 'barstacked', 'step', 'stepfilled'}, default: 'bar'\n",
    "#     The type of histogram to draw.\n",
    "#\n",
    "#     - 'bar' is a traditional bar-type histogram.  If multiple data\n",
    "#       are given the bars are arranged side by side.\n",
    "#     - 'barstacked' is a bar-type histogram where multiple\n",
    "#       data are stacked on top of each other.\n",
    "#     - 'step' generates a lineplot that is by default unfilled.\n",
    "#     - 'stepfilled' generates a lineplot that is by default filled."
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 720x576 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = ['A','B','C','D']\n",
    "students = [.35,.15,.40,.10]\n",
    "plt.figure(figsize=(10,8))\n",
    "plt.pie(students,\n",
    "        labels=labels,\n",
    "        autopct=\"%4.2f%%\",\n",
    "        pctdistance=0.84,\n",
    "        # colors=['b','orange','blue','pink'],\n",
    "        # explode=[.1,.1,0.1,.5],\n",
    "        shadow = True,\n",
    "        startangle=0,\n",
    "        textprops=dict(color = 'white', weight = True, size = 11,),\n",
    "        wedgeprops=dict(width = .3, edgecolor = 'w',)\n",
    "        )\n",
    "plt.pie(\n",
    "    [.45,.15,.25,.1,.05],\n",
    "    radius=.7,\n",
    "    pctdistance=.7,\n",
    "    autopct=\"%4.2f%%\",\n",
    "    wedgeprops=dict(width = .3, edgecolor = 'w')\n",
    ")\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [],
   "source": [
    "# 此后还有部分图形没有在此文件中展现。个人感觉后面的几个图形并不是很常用，或者说在本专业领域用的较少。\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}